Literature DB >> 20232453

Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors.

Ahmed Abdel Khalek Abdel Razek1, Gada Gaballa, Adel Denewer, Nadia Nada.   

Abstract

The aim of this study was to correlate the apparent diffusion coefficient (ADC) value of invasive ductal carcinoma with pathological prognostic factors. A prospective study was conducted on 59 untreated female patients (mean age 46 years) with invasive ductal carcinoma. All patients were examined at 1.5 Tesla using dedicated bilateral breast coil. They underwent diffusion weighted MR imaging of the breast using a single shot echo planar imaging with a b-factor of 200 and 400 sec/mm2. Apparent diffusion coefficient (ADC) maps were reconstructed. The ADC value of the breast cancer was calculated and correlated with the pathologic prognostic factors (tumor size, grade and lymph nodes). The mean ADC values of invasive ductal carcinoma were significantly lower in patients with high grade, large breast cancer as well as those with axillary lymph nodes metastasis in a statistically significant way (p = 0.001 for the three factors). The mean ADC value of invasive ductal carcinoma was correlated with histologic grade (r = -0.675, p = 0.001), tumor size (r = 0.504, p = 0.001) and showed lower ADC values with positive lymph node metastasis. Apparent diffusion coefficient value is correlated with pathological parameters of invasive ductal carcinoma. The lower ADC values are associated with higher histological grade, larger tumor size and presence of axillary lymph nodes. So, the ADC value can be considered as a promising prognostic parameter that may identify highly aggressive breast cancer.

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Year:  2010        PMID: 20232453     DOI: 10.1002/nbm.1503

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  52 in total

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Journal:  Eur Radiol       Date:  2013-05-08       Impact factor: 5.315

2.  Correlation between minimum apparent diffusion coefficient values and the histological grade of breast invasive ductal carcinoma.

Authors:  Suhong Zhao; Weihua Guo; Ru Tan; Peipei Chen; Zhaohua Li; Fengguo Sun; Guangrui Shao
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3.  Correlation of apparent diffusion coefficient at 3T with prognostic parameters of retinoblastoma.

Authors:  A A K Abdel Razek; S Elkhamary; S Al-Mesfer; H M Alkatan
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-12       Impact factor: 3.825

4.  Diffusion weighted MRI and spectroscopy in invasive carcinoma of the breast at 3Tesla. Correlation with dynamic contrast enhancement and pathologic findings.

Authors:  G Boulogianni; I Chryssogonidis; A Drevelegas
Journal:  Hippokratia       Date:  2016 Jul-Sep       Impact factor: 0.471

5.  Correlation between conventional MR imaging combined with diffusion-weighted imaging and histopathologic findings in eyes primarily enucleated for advanced retinoblastoma: a retrospective study.

Authors:  Yanfen Cui; Ran Luo; Ruifen Wang; Huanhuan Liu; Caiyuan Zhang; Zhongyang Zhang; Dengbin Wang
Journal:  Eur Radiol       Date:  2017-08-07       Impact factor: 5.315

6.  Is there any relationship between adc values of diffusion-weighted imaging and the histopathological prognostic factors of invasive ductal carcinoma?

Authors:  Hale Aydin; Bahar Guner; Isil Esen Bostanci; Zarife Melda Bulut; Bilgin Kadri Aribas; Lutfi Dogan; Mehmet Ali Gulcelik
Journal:  Br J Radiol       Date:  2018-01-12       Impact factor: 3.039

7.  Nasopharyngeal carcinoma: correlation of apparent diffusion coefficient value with prognostic parameters.

Authors:  Ahmed Abdel Khalek Abdel Razek; Elsharawey Kamal
Journal:  Radiol Med       Date:  2012-10-22       Impact factor: 3.469

Review 8.  Diffusion-weighted breast MRI: Clinical applications and emerging techniques.

Authors:  Savannah C Partridge; Noam Nissan; Habib Rahbar; Averi E Kitsch; Eric E Sigmund
Journal:  J Magn Reson Imaging       Date:  2016-09-30       Impact factor: 4.813

9.  Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors.

Authors:  Paolo Belli; Melania Costantini; Enida Bufi; Giuseppe Giovanni Giardina; Pierluigi Rinaldi; Gianluca Franceschini; Lorenzo Bonomo
Journal:  Radiol Med       Date:  2014-08-06       Impact factor: 3.469

10.  Quantitative apparent diffusion coefficient measurement obtained by 3.0Tesla MRI as a potential noninvasive marker of tumor aggressiveness in breast cancer.

Authors:  Manuela Durando; Lucas Gennaro; Gene Y Cho; Dilip D Giri; Merlin M Gnanasigamani; Sujata Patil; Elizabeth J Sutton; Joseph O Deasy; Elizabeth A Morris; Sunitha B Thakur
Journal:  Eur J Radiol       Date:  2016-06-28       Impact factor: 3.528

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